Instructions to use hf-internal-testing/tiny-random-T5EncoderModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-T5EncoderModel with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-T5EncoderModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-T5EncoderModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fcace888dad3731a25eb401b9ea9d106d936ac96bb4d523b17e88d34ed737fe4
- Size of remote file:
- 8.45 MB
- SHA256:
- ad5655e2c7c469d2301578aaa8f1357926699865e97523e406320f8a981eebe2
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